Kimi K2.5 vs o4 Mini Deep Research
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Kimi K2.5 and o4 Mini Deep Research.
Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
o4 Mini Deep Research
o4-mini-deep-research is OpenAI's faster, more affordable deep research model—ideal for tackling complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.
Technical Specifications
| Specification | Kimi K2.5 | o4 Mini Deep Research |
|---|---|---|
| Provider | Moonshot AI | OpenAI |
| Context Window | 262,144 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-01-27 | 2025-10-10 |
API Pricing Comparison
Input Price per Million Tokens
Kimi K2.5
$0.38
o4 Mini Deep Research
$2.00
Output Price per Million Tokens
Kimi K2.5
$2.02
o4 Mini Deep Research
$8.00
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Kimi K2.5 Quirks & Gotchas
No developer gotchas reported.
o4 Mini Deep Research Quirks & Gotchas
No developer gotchas reported.